Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework

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Bibliografski detalji
Izdano u:	Journal of Marine Science and Engineering vol. 13, no. 7 (2025), p. 1325-1348
Glavni autor:	Bolin, Su
Daljnji autori:	Wang, Haozhong, Zhu Xingyu, Song Penghua, Li, Xiaolei
Izdano:	MDPI AG
Teme:	Accuracy Shallow water Datasets Flow Transmission loss Mapping Computer applications Batch processing Telecommunications Deep learning Prediction models Propagation Computation Acoustics Sound transmission Neural networks Computational efficiency Sound velocity Variables Communications systems Controllability Physical properties Learning Underwater Computing time Waveguides Environmental
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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